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- Issue #5
Issue #5
Hello CloudMakers!
Today we shall see:
one of the best and most detailed articles on digital transformation
a comparison of traditional SQL databases with a graph database, and what problems can it solve
yet another AI tool... this time, translating English to RegEx!
Enjoy!
Digital Transformation: The Why, Who, How, and What
From AWS Enterprise Strategy Blog, a must-read four-part blog series that covers the why, who, how, and what of digital transformation and explains why it is important for organizations. They share where they have seen others struggle and what best practices can be used to ensure digital transformation succeeds in an organization.
"The Why" - part 1: what a Digital Transformation really is, the new business models, the keys to success
"The Who" - part 2: the organization model and culture, and the anti-patterns
"The How" - part 3: the process framework and examples of ineffective transformations
"The What" - part 4: from strategy to execution
NebulaGraph database case study
In the database world, graph databases are a relatively recent idea. They are most known for their capacity to manage relational data, including connections between individuals, groups, and objects. Complex interactions between things are well suited for graphs, and graph databases can be used to model complex data across a wide range of areas.
A comparison between a graph database and its more established sibling, the relational database, is the best approach to comprehend the power of using a graph database.
AutoRegex
RegEx are hard to write and comprehend. Do you ever dream of expressing your needs in plain English and seeing them translated to RegEx (and/or vice-versa)? There you are! This website uses artificial intelligence to automate this task by translating back and forth between English and RegEx.
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